New Framework for Agentic AI Evaluation

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In early 2026, the AI landscape shifted from simple "Chat" and "Retrieval Augmented Generation" (RAG) to Deep Research Agents—systems capable of autonomous, multi-day investigations, cross-document synthesis, and complex reasoning. However, a critical bottleneck emerged: How do you evaluate an AI that knows more than the evaluator?

Traditional benchmarks (static Q&A pairs) fail to capture the nuance of a 50-page due diligence report or a legal discovery synthesis. Enter the era of Deep Research Evaluation, an emerging field of frameworks currently trending among AI researchers. This paper proposes a paradigm shift: us...